AlibabaChina· released Apr 2026

Qwen3.6 Max

Name: Qwen3.6 Max
Author: Alibaba

Provisional: 8 comparable tests so far. Ranked once it reaches 6 across 3 counting categories.

Alibaba, China. One of 19 models from this lab on the Index.

Third-party publishedLow confidence (thin coverage)

Snapshot September 8, 2026

OpenCharts Index

76.3

Provisional: not enough comparable tests or counting categories to rank yet · 8 comparable tests · 0 counting categories

Drop any single test and the Index lands between 70.9 and 81.6.

Needs more results (1 of 8 so far)

Averaging 91.8 on the 1 it has; the score opens at 4 of 8.

Distance to today's frontier on the hardest tests. Not a measure of intelligence.

What it's known for

Qwen3.6 Max, in 8 results.

Its widest gap is on Code Arena (WebDev), 72.4% behind the best published result. No comparable results yet in multimodal and long context. Between 20% and 25% behind the best published results, on average.

Strongest category

No category counts yet: a category counts once it has more than one comparable test and the model has taken at least half of them. The scores it has are below.

Best single result

SWE-bench Verified

Given a real GitHub issue and its repository, write a patch that makes the project's hidden tests pass.

76.7%

91.8% of the best (83.5%) · #8 of 26.

This is the daily work of a software engineer: understanding an unfamiliar codebase and fixing the right thing.

Where it trails

Code Arena (WebDev)

Build a web app from the same prompt as a rival model; real users vote blind on the result.

1,479

72.4 points short of parity with the board leader (1,797) · #38 of 86.

People judging finished apps side by side is the most honest measure of front-end quality.

Not measured yet

No comparable result yet in these 2 categories. A blank is a blank, never a zero, and it does not lower the Index.

Multimodal
Long context

Covered, but not averaged into the Index:

Reasoning2 of 6 tests · needs 3 · mean 82.5
Knowledgesingle-test category, shown beside the Index · 68.8
Coding2 of 7 tests · needs 4 · mean 59.7
Math1 of 5 tests · needs 3 · mean 91.1
Agentic1 of 8 tests · needs 4 · mean 68.9
Human preferencesingle-test category, shown beside the Index · 86.5

Every score, with its source

See it at work

What Qwen3.6 Max was asked to do, and how it did.

Every test it has taken, by category, with the kind of task it faced, who produced the number and where the result landed against the best published one. The examples are original and illustrative, never items from the datasets themselves.

Math · mean 91.1 across 1 comparable test · not counted toward the Index yet (fewer than half the category's tests)

Mock AIME 2024–2025Epoch-run

Solve competition mathematics problems that have a single exact integer answer.

91.1%

91.1% of the best (100.0%)
#37 of 78 · n = 45

max-preview

45 problems: one problem is 2.2 points, so gaps of a few points are within noise.

Source: Epoch AI (internal runs)

Every result is read against the best published one on its test: percent scores as a share of the best above chance, Arena ratings as the expected win rate against the board leader, open-ended values on a log scale. Sitting a harder exam never lowers a model. Every number links to the publisher that produced it.

Head to head

Qwen3.6 Max against whoever you pick.

Choose a rival. Every counted test both have taken appears side by side as a share of the best published result on that test, with the category means above. A win is a higher share; a gap under 2 points is a tie, because one item on a 45-problem exam is 2.2 points and publishers' own standard errors are of that order.

Qwen3.6 Max

provisional·Index 76.3B

0 : 4

wins · 0 ties · 4 shared

GPT-6 Astra

#1·Index 99.0A+

GPT-6 Astra comes out ahead on 4 of the 4 tests both have taken.

Category means

Reasoning
82.5
99.6
Knowledge
68.8
100.0
Coding
59.7
97.7
Math
91.1
99.8
Agentic
68.9
98.5
Human preference
86.5
—

Shared tests · biggest gaps first

Code Arena (WebDev)Coding
1,479
1,797
−72.4
SimpleQA VerifiedKnowledge
52.0%
75.6%
−31.2
GPQA DiamondReasoning
87.4%
95.8%
−11.9
Mock AIME 2024–2025Math
91.1%
100.0%
−8.9

Bars are distances to the best published result on each test (percent scores above chance, Arena ratings as win rate against the leader, open-ended values on a log scale). Raw values as the publishers report them.

Open GPT-6 Astra

Scores

Every test, every source

The best published run per benchmark, the raw value as the publisher reports it, who produced the number, how close it comes to the best published result on that test, and where the model sits among every model scored on it. Percent scores are read above chance, Arena ratings as a win rate against the board leader, open-ended values on a log scale. A test with too few models to compare against is shown but not counted.

Category means

Reasoning82.5 · 2/6
Knowledgebeside68.8 · 1/1
Coding59.7 · 2/7
Math91.1 · 1/5
Agentic68.9 · 1/8
Multimodal—
Human preferencebeside86.5 · 1/1
Long context—

Mean · tests taken of the category's comparable tests. A faded category either rests on fewer than half of them or is a single-test category (marked “beside”), which is shown next to the Index and never averaged into it.

GPQA DiamondEpoch-runReasoning

87.4%

88.1% of the best (95.8%), above chance
43th percentile of 78 · n = 198

max-preview

Source: Epoch AI — AI Benchmarking Hub

SimpleBenchLeaderboardReasoning

63.0%

76.9% of the best (81.9%)
64th percentile of 46

max-preview

Source: Epoch AI — AI Benchmarking Hub

SimpleQA VerifiedEpoch-runKnowledge

52.0%